--------------------------------------------------------------------------------------------------------
      name:  <unnamed>
  log type:  text
 opened on:  16 Oct 2023, 04:59:19

. 
. /* Appendix Table A.10 */
. /* Regressions for Figures 8-10, as requested by APSR reviewer. Displays Adjusted R-Squared. */
. 
. /* Figure 8: Follow Campaign variable only available at time 4 */
. reg follow_campaign i.delegate, robust

Linear regression                               Number of obs     =      1,171
                                                F(1, 1169)        =      28.76
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0232
                                                Root MSE          =      2.288

------------------------------------------------------------------------------
             |               Robust
follow_cam~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  1.delegate |   .7202109   .1342859     5.36   0.000     .4567426    .9836791
       _cons |   7.050847   .0888476    79.36   0.000     6.876529    7.225166
------------------------------------------------------------------------------

. di e(r2_a)
.02234092

. /* Figure shows unconditional relationship, but we can also run regression with controls; not much chan
> ges for key coefficient */
. reg follow_campaign i.delegate college_grad male over60 white married employed lowinc rural home_owner
>  i.state_id, robust

Linear regression                               Number of obs     =      1,171
                                                F(57, 1111)       =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1551
                                                Root MSE          =     2.1827

------------------------------------------------------------------------------
             |               Robust
follow_cam~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  1.delegate |   .7116978   .1336006     5.33   0.000     .4495599    .9738357
college_grad |   .6534359   .1954706     3.34   0.001     .2699028    1.036969
        male |   .8182333   .1337979     6.12   0.000     .5557083    1.080758
      over60 |   .8245645   .1546461     5.33   0.000      .521133    1.127996
       white |   .2640852    .164124     1.61   0.108    -.0579427    .5861131
     married |   .0888008   .1465365     0.61   0.545    -.1987188    .3763203
    employed |    -.21799   .1511316    -1.44   0.149    -.5145254    .0785455
      lowinc |  -.1455835   .1531338    -0.95   0.342    -.4460475    .1548806
       rural |  -.0689619   .2374896    -0.29   0.772    -.5349406    .3970168
  home_owner |   .1498385   .1769554     0.85   0.397     -.197366     .497043
             |
    state_id |
         AL  |  -.6157905    .697706    -0.88   0.378     -1.98476    .7531795
         AR  |  -.2563332   1.245578    -0.21   0.837    -2.700284    2.187617
         AZ  |  -.8582445   .5451169    -1.57   0.116    -1.927819    .2113301
         CA  |  -.6591558   .2549924    -2.59   0.010    -1.159477   -.1588348
         CO  |  -.8882477    .435329    -2.04   0.042    -1.742408    -.034088
         CT  |  -.3434223   .6352058    -0.54   0.589    -1.589761     .902916
         DC  |   1.514788   1.303205     1.16   0.245    -1.042232    4.071808
         DE  |  -.0822949   .8067181    -0.10   0.919    -1.665158    1.500568
         FL  |  -.4276184   .3426431    -1.25   0.212    -1.099919    .2446822
         GA  |  -.0976389   .3802975    -0.26   0.797    -.8438212    .6485435
         HI  |  -1.868641   .2991791    -6.25   0.000    -2.455661   -1.281622
         IA  |  -.2914838   .5581743    -0.52   0.602    -1.386678    .8037109
         ID  |  -1.217966   .6172183    -1.97   0.049    -2.429011   -.0069207
         IL  |  -.6203074   .3212842    -1.93   0.054      -1.2507    .0100848
         IN  |    -.08038   .4603963    -0.17   0.861    -.9837243    .8229643
         KS  |   .9919592   .5234982     1.89   0.058    -.0351975    2.019116
         KY  |  -.2518991   .4992886    -0.50   0.614    -1.231554    .7277558
         LA  |  -.7318838   .6305943    -1.16   0.246    -1.969174    .5054061
         MA  |   .1943167   .4162233     0.47   0.641    -.6223557    1.010989
         MD  |  -1.010102   .5986446    -1.69   0.092    -2.184703    .1644999
         ME  |  -.5315288   .7180535    -0.74   0.459    -1.940423    .8773651
         MI  |  -.6344088   .4527855    -1.40   0.161     -1.52282    .2540023
         MN  |  -.3562696   .4699762    -0.76   0.449    -1.278411    .5658715
         MO  |  -1.203587   .4586451    -2.62   0.009    -2.103495   -.3036783
         MS  |  -1.268556   1.012329    -1.25   0.210    -3.254848    .7177359
         MT  |  -1.526322    1.11745    -1.37   0.172    -3.718872    .6662283
         NC  |  -.1961729   .3439266    -0.57   0.569    -.8709918     .478646
         NE  |  -.6718544   .4781766    -1.41   0.160    -1.610085    .2663766
         NH  |  -1.083789   .9605146    -1.13   0.259    -2.968417    .8008377
         NJ  |  -.7038737   .4843321    -1.45   0.146    -1.654183    .2464352
         NM  |   .1337087   .8459292     0.16   0.874     -1.52609    1.793508
         NV  |   .3029762   .4872415     0.62   0.534    -.6530411    1.258994
         NY  |  -.3010238   .3576007    -0.84   0.400    -1.002673    .4006252
         OH  |  -.1703895   .3763836    -0.45   0.651    -.9088923    .5681134
         OK  |  -1.092671   .6350782    -1.72   0.086    -2.338759     .153417
         OR  |  -.5883173   .4689571    -1.25   0.210    -1.508459    .3318241
         PA  |  -.3935029   .3784779    -1.04   0.299    -1.136115    .3491092
         RI  |   .3529285   .6399289     0.55   0.581     -.902677    1.608534
         SC  |   .2576942   .5471147     0.47   0.638    -.8158004    1.331189
         SD  |   .1279423   .4984723     0.26   0.797     -.850111    1.105996
         TN  |  -1.091011   .5411117    -2.02   0.044    -2.152727   -.0292951
         TX  |  -.4994138   .2980403    -1.68   0.094    -1.084199    .0853715
         UT  |  -1.524392    1.24776    -1.22   0.222    -3.972623    .9238393
         VA  |  -.1996643   .4738336    -0.42   0.674    -1.129374    .7300453
         VT  |   .9491037   .4066184     2.33   0.020     .1512771     1.74693
         WA  |  -.6778114   .4133209    -1.64   0.101    -1.488789    .1331662
         WI  |   -.956293   .4119462    -2.32   0.020    -1.764573   -.1480127
         WV  |   .9175907   .6068832     1.51   0.131    -.2731756    2.108357
         WY  |    1.30253   .3009031     4.33   0.000     .7121281    1.892933
             |
       _cons |    6.15063   .3302481    18.62   0.000      5.50265    6.798611
------------------------------------------------------------------------------

. di e(r2_a)
.11025823

. 
. /* Figure 9: Self-Efficacy */
. reg worth_listening i.time##i.delegate, robust

Linear regression                               Number of obs     =      3,408
                                                F(5, 3402)        =      38.56
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0482
                                                Root MSE          =     2.2083

-------------------------------------------------------------------------------
              |               Robust
worth_liste~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
         time |
           2  |   .0895954   .1250569     0.72   0.474    -.1555989    .3347897
           3  |   .2369897    .127181     1.86   0.062    -.0123692    .4863486
              |
   1.delegate |   .6130009   .1376656     4.45   0.000     .3430853    .8829165
              |
time#delegate |
         2 1  |   .6989881   .1852775     3.77   0.000     .3357217    1.062255
         3 1  |   .1659445   .1893297     0.88   0.381     -.205267    .5371559
              |
        _cons |   7.004335   .0909367    77.02   0.000     6.826039    7.182631
-------------------------------------------------------------------------------

. di e(r2_a)
.04678455

. /* Figure shows unconditional relationship, but we can also run regression with controls; not much chan
> ges for key coefficients */
. reg worth_listening i.time##i.delegate college_grad male over60 white married employed lowinc rural ho
> me_owner i.state_id, robust

Linear regression                               Number of obs     =      3,408
                                                F(63, 3344)       =       7.30
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0982
                                                Root MSE          =      2.168

-------------------------------------------------------------------------------
              |               Robust
worth_liste~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
         time |
           2  |   .0895954    .122293     0.73   0.464    -.1501814    .3293721
           3  |   .2256699   .1248131     1.81   0.071    -.0190478    .4703876
              |
   1.delegate |   .5048901   .1374587     3.67   0.000     .2353784    .7744018
              |
time#delegate |
         2 1  |   .6989881   .1825019     3.83   0.000     .3411614    1.056815
         3 1  |   .1776325    .185022     0.96   0.337    -.1851353    .5404003
              |
 college_grad |   .6591338   .1235778     5.33   0.000      .416838    .9014296
         male |   .0160736   .0771477     0.21   0.835    -.1351879     .167335
       over60 |   .5442153   .0928422     5.86   0.000     .3621821    .7262485
        white |  -.1707211   .0958912    -1.78   0.075    -.3587325    .0172902
      married |  -.1630733   .0854494    -1.91   0.056    -.3306117    .0044651
     employed |  -.1241815   .0903406    -1.37   0.169    -.3013099    .0529469
       lowinc |  -.1685861   .0878016    -1.92   0.055    -.3407365    .0035642
        rural |   .0783979   .1264909     0.62   0.535    -.1696096    .3264054
   home_owner |  -.0993131   .1055228    -0.94   0.347    -.3062089    .1075828
              |
     state_id |
          AL  |   .4058935   .6716779     0.60   0.546    -.9110476    1.722835
          AR  |  -.2377359   .7659928    -0.31   0.756    -1.739598    1.264126
          AZ  |   .0280965   .6601791     0.04   0.966    -1.266299    1.322492
          CA  |  -.5643126   .6173834    -0.91   0.361      -1.7748    .6461747
          CO  |  -.2204264   .6392196    -0.34   0.730    -1.473727    1.032875
          CT  |    .160461   .7445382     0.22   0.829    -1.299335    1.620258
          DC  |   1.542691   .6964516     2.22   0.027     .1771764    2.908205
          DE  |   .7401031   .7151168     1.03   0.301    -.6620075    2.142214
          FL  |   .0433878   .6249837     0.07   0.945    -1.182001    1.268777
          GA  |   .0315628   .6477718     0.05   0.961    -1.238506    1.301632
          HI  |   -1.58592   .7820435    -2.03   0.043    -3.119252   -.0525882
          IA  |  -.0541161    .672236    -0.08   0.936    -1.372152    1.263919
          ID  |  -.3040817   .6933742    -0.44   0.661    -1.663562    1.055399
          IL  |  -.3404261   .6393616    -0.53   0.594    -1.594006    .9131533
          IN  |   .2308192   .6514445     0.35   0.723    -1.046451    1.508089
          KS  |   .0989582   .7655887     0.13   0.897    -1.402111    1.600028
          KY  |  -.4755006    .675011    -0.70   0.481    -1.798977    .8479757
          LA  |  -.7526741    .704716    -1.07   0.286    -2.134392    .6290439
          MA  |  -.5205413   .6713078    -0.78   0.438    -1.836757    .7956742
          MD  |  -.7157009   .6856454    -1.04   0.297    -2.060028     .628626
          ME  |   .3492512   .7648699     0.46   0.648    -1.150409    1.848912
          MI  |   .1311425   .6486008     0.20   0.840    -1.140552    1.402837
          MN  |  -.7749894   .6646553    -1.17   0.244    -2.078162    .5281827
          MO  |  -.2156608   .6489094    -0.33   0.740     -1.48796    1.056639
          MS  |   .0817701   .9037669     0.09   0.928    -1.690222    1.853762
          MT  |  -.9657797   .7345747    -1.31   0.189    -2.406041    .4744815
          NC  |  -.4249549   .6401557    -0.66   0.507    -1.680091    .8301815
          NE  |  -.5331009   .6957153    -0.77   0.444    -1.897172    .8309696
          NH  |   .2087764    .714862     0.29   0.770    -1.192835    1.610387
          NJ  |  -.0084116   .6556263    -0.01   0.990    -1.293881    1.277058
          NM  |   .2625467   .6941782     0.38   0.705     -1.09851    1.623603
          NV  |   -.628469   .7106551    -0.88   0.377    -2.021832    .7648937
          NY  |  -.1507807   .6312643    -0.24   0.811    -1.388484    1.086923
          OH  |  -.2419357   .6451376    -0.38   0.708     -1.50684    1.022969
          OK  |  -.9601282   .6808836    -1.41   0.159    -2.295119    .3748624
          OR  |  -.2857635   .6515743    -0.44   0.661    -1.563288     .991761
          PA  |  -.0310313   .6494031    -0.05   0.962    -1.304299    1.242236
          RI  |  -.4545716   .8631263    -0.53   0.598    -2.146881    1.237737
          SC  |  -.0473341   .6755598    -0.07   0.944    -1.371886    1.277218
          SD  |   .9549882   .7507934     1.27   0.203    -.5170726    2.427049
          TN  |   .1659892   .6510972     0.25   0.799      -1.1106    1.442578
          TX  |  -.4791377   .6265771    -0.76   0.445    -1.707651    .7493756
          UT  |  -.1120987   .8689702    -0.13   0.897    -1.815866    1.591668
          VA  |  -.2765482   .7022317    -0.39   0.694    -1.653395    1.100299
          VT  |   .5250614   .6966357     0.75   0.451    -.8408138    1.890937
          WA  |  -.1633606   .6465845    -0.25   0.801    -1.431102    1.104381
          WI  |  -1.065344   .6447193    -1.65   0.099    -2.329428    .1987402
          WV  |   .9706605   .6949918     1.40   0.163    -.3919916    2.333313
          WY  |   .5328323   .9139725     0.58   0.560     -1.25917    2.324834
              |
        _cons |   6.963327   .6385699    10.90   0.000       5.7113    8.215354
-------------------------------------------------------------------------------

. di e(r2_a)
.08124119

. 
. /* Figure 10: General Political Knowledge */
. reg knowledge_index_v2 i.time##i.delegate, robust

Linear regression                               Number of obs     =      4,101
                                                F(5, 4095)        =       7.77
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0087
                                                Root MSE          =     .41943

-------------------------------------------------------------------------------
              |               Robust
knowledge_i~2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
         time |
           2  |  -.0124408   .0206644    -0.60   0.547    -.0529543    .0280727
           3  |  -.0035545   .0209952    -0.17   0.866    -.0447165    .0376075
              |
   1.delegate |    .058237   .0224617     2.59   0.010     .0141999    .1022741
              |
time#delegate |
         2 1  |  -.0076357   .0325242    -0.23   0.814    -.0714008    .0561293
         3 1  |   .0494436   .0320303     1.54   0.123    -.0133531    .1122403
              |
        _cons |   .6712085   .0144252    46.53   0.000     .6429273    .6994897
-------------------------------------------------------------------------------

. di e(r2_a)
.00747426

. /* Figure shows unconditional relationship, but we can also run regression with controls; not much chan
> ges for key coefficients */
. reg knowledge_index_v2 i.time##i.delegate college_grad male over60 white married employed lowinc rural
>  home_owner i.state_id, robust

Linear regression                               Number of obs     =      4,101
                                                F(63, 4037)       =      40.14
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1647
                                                Root MSE          =     .38778

-------------------------------------------------------------------------------
              |               Robust
knowledge_i~2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
         time |
           2  |  -.0124408   .0188848    -0.66   0.510    -.0494653    .0245838
           3  |  -.0035545   .0194087    -0.18   0.855    -.0416062    .0344972
              |
   1.delegate |   .0500777   .0212553     2.36   0.019     .0084055    .0917498
              |
time#delegate |
         2 1  |  -.0076357   .0300477    -0.25   0.799    -.0665457    .0512743
         3 1  |   .0494436   .0299016     1.65   0.098      -.00918    .1080672
              |
 college_grad |   .1737698   .0189797     9.16   0.000     .1365591    .2109805
         male |   .1645211   .0126815    12.97   0.000     .1396583    .1893839
       over60 |   .1484837   .0149803     9.91   0.000      .119114    .1778534
        white |   .0354927   .0150515     2.36   0.018     .0059835    .0650019
      married |   .0279563   .0137553     2.03   0.042     .0009883    .0549244
     employed |   -.013504   .0143993    -0.94   0.348    -.0417346    .0147266
       lowinc |  -.0691759   .0143452    -4.82   0.000    -.0973004   -.0410514
        rural |  -.0633484   .0224179    -2.83   0.005    -.1072998   -.0193969
   home_owner |    .001029   .0162977     0.06   0.950    -.0309234    .0329815
              |
     state_id |
          AL  |  -.4961315   .0527058    -9.41   0.000     -.599464    -.392799
          AR  |  -.4354023   .0741334    -5.87   0.000    -.5807446   -.2900599
          AZ  |  -.2905981   .0496142    -5.86   0.000    -.3878694   -.1933268
          CA  |  -.4218129   .0239055   -17.65   0.000    -.4686808   -.3749449
          CO  |  -.4360906   .0409295   -10.65   0.000     -.516335   -.3558461
          CT  |  -.6102226   .0690089    -8.84   0.000    -.7455182   -.4749269
          DC  |  -.1447519   .1176827    -1.23   0.219    -.3754749     .085971
          DE  |  -.2842571    .084263    -3.37   0.001     -.449459   -.1190552
          FL  |  -.3868285   .0306467   -12.62   0.000    -.4469129   -.3267441
          GA  |  -.4197438   .0365411   -11.49   0.000    -.4913846   -.3481031
          HI  |  -.1906369    .085003    -2.24   0.025    -.3572897   -.0239841
          IA  |  -.3684889   .0615418    -5.99   0.000    -.4891447    -.247833
          ID  |  -.3241896    .059203    -5.48   0.000    -.4402602    -.208119
          IL  |  -.4537322   .0354748   -12.79   0.000    -.5232824   -.3841819
          IN  |  -.3748102   .0473788    -7.91   0.000    -.4676987   -.2819217
          KS  |  -.3044159   .0830527    -3.67   0.000    -.4672449   -.1415868
          KY  |  -.2307513   .0371193    -6.22   0.000    -.3035256   -.1579771
          LA  |  -.3950206   .0549264    -7.19   0.000    -.5027067   -.2873345
          MA  |  -.3147512   .0395734    -7.95   0.000    -.3923368   -.2371655
          MD  |  -.3943309   .0499971    -7.89   0.000    -.4923528    -.296309
          ME  |  -.1864567   .0771081    -2.42   0.016    -.3376312   -.0352822
          MI  |  -.4211544   .0409696   -10.28   0.000    -.5014773   -.3408314
          MN  |  -.4156593    .055296    -7.52   0.000      -.52407   -.3072487
          MO  |  -.4400427   .0420441   -10.47   0.000    -.5224723   -.3576131
          MS  |  -.5712568   .1280037    -4.46   0.000    -.8222147   -.3202989
          MT  |  -.4122664   .0882525    -4.67   0.000    -.5852901   -.2392428
          NC  |  -.4657161   .0354122   -13.15   0.000    -.5351435   -.3962886
          NE  |  -.3422381   .0535533    -6.39   0.000    -.4472321   -.2372441
          NH  |  -.4620616   .0845678    -5.46   0.000    -.6278612   -.2962621
          NJ  |  -.4256924   .0405504   -10.50   0.000    -.5051935   -.3461913
          NM  |  -.3250739   .0712882    -4.56   0.000    -.4648381   -.1853098
          NV  |  -.2524838   .0722625    -3.49   0.000    -.3941582   -.1108095
          NY  |  -.4059619   .0326507   -12.43   0.000    -.4699752   -.3419486
          OH  |  -.4684103   .0401114   -11.68   0.000    -.5470508   -.3897698
          OK  |  -.5183811   .0562694    -9.21   0.000    -.6287001    -.408062
          OR  |  -.3832287   .0467567    -8.20   0.000    -.4748976   -.2915598
          PA  |  -.3639638   .0365644    -9.95   0.000    -.4356502   -.2922774
          RI  |  -.3140816   .0888847    -3.53   0.000    -.4883447   -.1398185
          SC  |  -.4652664   .0658627    -7.06   0.000    -.5943937   -.3361392
          SD  |  -.2610919   .0910436    -2.87   0.004    -.4395876   -.0825963
          TN  |  -.2841943   .0425973    -6.67   0.000    -.3677085   -.2006802
          TX  |  -.4515763   .0286125   -15.78   0.000    -.5076726     -.39548
          UT  |  -.5081753   .0898957    -5.65   0.000    -.6844205   -.3319301
          VA  |  -.3710301   .0475308    -7.81   0.000    -.4642167   -.2778435
          VT  |  -.2751644   .0885415    -3.11   0.002    -.4487546   -.1015741
          WA  |  -.4111512   .0373849   -11.00   0.000    -.4844462   -.3378563
          WI  |  -.4966427   .0435945   -11.39   0.000     -.582112   -.4111734
          WV  |  -.2153873   .0474173    -4.54   0.000    -.3083513   -.1224233
          WY  |  -.1847818   .0329324    -5.61   0.000    -.2493476    -.120216
              |
        _cons |   .8085443   .0326788    24.74   0.000     .7444758    .8726128
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. di e(r2_a)
.15162228

. 
. log close
      name:  <unnamed>
  log type:  text
 closed on:  16 Oct 2023, 04:59:22
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